About

Praveen Singh is a data enthusiast with over 10 years of experience in data engineering, big data, and artificial intelligence. Currently, he serves as the Director of Data Engineering at PayU, where he leverages data-driven solutions across business-critical verticals to enable management to make smarter and informed decisions. Praveen is an expert in architecting and shipping service-oriented architectures, distributed applications, and big data solutions for both large enterprises and startups. He has a proven track record of effectively working on big data and spark ecosystems and components. He is proficient in collaborating with key stakeholders to conceptualize and execute solutions for resolving systems architecture-based technical issues. Praveen has specialized in processing complex data and designing machine learning modules for effective data mining and modeling. He has an enriched data engineering experience with healthcare, insurance, manufacturing, and retail in the US for many top global players and industry giants. Praveen is an aggressive learner and a team player who supports the DevOps and DataOps culture, living by the philosophy of "automate everything." He has worked with companies like Samya.ai and Noodle.ai in developing enterprise artificial intelligence workbench for machine learning engineers and data scientists. Praveen holds a Bachelor's Degree in Electrical and Electronics Engineering from Dr. A.P.J. Abdul Kalam Technical University. He is proficient in a wide range of technologies, including data engineering, big data, AI, Spark, ML, HDFS, NoSQL, MongoDB, Hadoop, Kafka, DevOps, ETL, and Apache Hive.